Quash

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Introduction

Quash is a mobile QA platform built around intent. You describe what users should be able to do in plain language, and Quash turns that into executable end-to-end tests that run on real devices, cloud devices or local emulators, with no scripts, locators or installs.

Its Product Hunt description adds detail: built-in self-healing when the UI changes, backend validations alongside UI steps, reusable test data, suites and parallel runs, and reports with step-level intent, actions and screenshots. Tests can connect UI behaviour to backend checks to uncover broken data and failed integrations.

Mahoraga is the conversational layer across the product. Instead of moving between screens to create tests, run them, organise automation and investigate failures, you ask Mahoraga and it works across Quash. Case studies on the site include an ECG app with 469 automated runs on hardware-dependent flows.

Launch and background: Quash’s Product Hunt page lists it as launched in 2026, and There’s An AI For That also lists it under test automation.

Features

1. Plain-language tests: Intent becomes executable steps.
2. Real and cloud devices: Plus local emulators.
3. Backend validation: Check APIs and data during UI tests.
4. Self-healing: Adapts to UI changes.
5. Parallel suites: Reusable data and parallel runs.
6. Mahoraga assistant: One conversation for the whole workflow.

Pros

1. Full-stack checks: UI and backend in one test.

Cons

1. Execution-based pricing: Plans sized to volume via sales.
2. Mobile focus: Web testing is secondary.

Usage and Links (Example)

1. Request a free evaluation.
2. Upload a build and write a test like “add a new address and check it appears at checkout”.
3. Run on real devices and review step-level reports.

Resources:

• Quash website

Pricing

Quash says pricing is tailored mainly to test execution volume, with monthly or annual capacity plans; evaluations are free and guided.

Recommended for?

1. Mobile QA teams moving from manual regression to automation.

Conclusion

Quash pairs natural-language mobile tests with backend validation, which many mobile AI tools skip.

Size the plan around your monthly execution volume.

On CheckOps, Quash is filed under the End-to-end & functional and Release & CI gates stages. Related tools listed here include Maestro, MobileBoost (GPT Driver), Drizz, Revyl, Appium and Kobiton. Which one fits best depends mostly on your stack, your team’s size and skills, and whether you prefer to run tools yourself or pay for a managed service. This page reflects the official website, documentation and repository as they stood on 11 November 2026.